Ferdib Al Islam | Machine Learning | Excellence in Research

Posted on by ScienceFather

Mr. Ferdib Al Islam | Machine Learning | Excellence in Research

Assistant Professor, Northern University of Business and Technology Khulna Bangladesh

Ferdib-Al-Islam is an Assistant Professor at Northern University of Business and Technology Khulna, Bangladesh. He holds a Master’s and Bachelor’s degree in Computer Science and Engineering from Khulna University of Engineering & Technology (KUET) and Bangabandhu Sheikh Mujibur Rahman Science and Technology University (BSMRSTU), respectively. His research expertise encompasses Machine Learning, Deep Learning, IoT, Data Science, and Computer Vision. Ferdib’s career includes experience as a software engineer in IoT R&D and lecturer roles, contributing significantly to academic and research pursuits.

Publication Profile

Google Scholar

🎓 Education

M.Sc. Eng. in Computer Science and Engineering from KUET (2023) – GPA: 3.50. B.Sc. Eng. in Computer Science and Engineering from BSMRSTU (2018) – GPA: 3.55. HSC in Science from Govt. PC College, Bagerhat (2012) – 5.00. SSC in Science from Bagerhat Govt. Secondary School (2010) – 5.00

💼 Experience

Ferdib has progressed from an intern to a Senior Lecturer, and now an Assistant Professor at Northern University of Business and Technology Khulna. He served as a Lecturer in Computer Science and Engineering from March 2020 to January 2024. His career also includes a Jr. Software Engineer role at W3 Engineers Ltd. in the IoT R&D sector. Ferdib brings practical industry experience into his academic roles, fostering innovation and research.

🏆 Awards & Honors

Ferdib has earned notable accolades, including the Gold Award at Semarak International Research Article Competition III 2024 for his work on Autism Spectrum Disorder detection. He also received the Best Paper Award at ICETIS 2021 for his research on Diabetes Mellitus prediction and the Honorable Mention Award at BDML 2020 for his IoT-based health monitoring tool.

🔬 Research Focus

Ferdib’s primary research interests are in Machine Learning, Deep Learning, IoT, Large Language Models, and Computer Vision. His work focuses on the application of AI techniques to healthcare, predictive modeling, and intelligent systems. His aim is to leverage machine learning for real-world applications like healthcare diagnostics, smart monitoring systems, and data-driven insights in various fields.

Conclusion

Ferdib Al-Islam is an exceptional researcher with notable accomplishments in machine learning, deep learning, and IoT. His commitment to advancing knowledge in these areas, demonstrated by his numerous awards and research contributions, marks him as a leading figure in his field. However, fostering greater interdisciplinary collaborations and increasing his global academic presence will be beneficial for his continued growth as a researcher. He is undoubtedly a deserving candidate for the Excellence in Research award, given his dedication, achievements, and potential for further contributions to the scientific community.

Publication Top Notes

  • Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques
    • Year: 2021
    • Authors: L Akter, Ferdib-Al-Islam, MM Islam, MS Al-Rakhami, MR Haque
    • Citation: 73
  • An IoT Enabled Health Monitoring Kit Using Non-Invasive Health Parameters
    • Year: 2021
    • Authors: A Das, SD Katha, MS Sadi, Ferdib-Al-Islam
    • Citation: 31
  • Hepatocellular Carcinoma Patient’s Survival Prediction Using Oversampling and Machine Learning Techniques
    • Year: 2021
    • Authors: Ferdib-Al-Islam, L Akter, MM Islam
    • Citation: 21
  • An Enhanced Stroke Prediction Scheme Using SMOTE and Machine Learning Techniques
    • Year: 2021
    • Authors: Ferdib-Al-Islam, M Ghosh
    • Citation: 20
  • Early Identification of Parkinson’s Disease from Hand-drawn Images using Histogram of Oriented Gradients and Machine Learning Techniques
    • Year: 2020
    • Authors: Ferdib-Al-Islam, L Akter
    • Citation: 19
  • Dementia Identification for Diagnosing Alzheimer’s Disease using XGBoost Algorithm
    • Year: 2021
    • Authors: L Akter, Ferdib-Al-Islam
    • Citation: 17
  • COV-VGX: An automated COVID-19 detection system using X-ray images and transfer learning
    • Year: 2021
    • Authors: P Saha, MS Sadi, OFMRR Aranya, S Jahan, FA Islam
    • Citation: 9
  • Detection of Hepatitis C Virus Progressed Patient’s Liver Condition Using Machine Learning
    • Year: 2022
    • Authors: Ferdib-Al-Islam, L Akter
    • Citation: 6*
  • Diabetes Mellitus Prediction and Feature Importance Score Finding Using Extreme Gradient Boosting
    • Year: 2021
    • Authors: L Akter, Ferdib-Al-Islam
    • Citation: 4
  • COV-Doctor: A Machine Learning Based Scheme for Early Identification of COVID-19 in Patients
    • Year: 2022
    • Authors: Ferdib-Al-Islam, M Ghosh
    • Citation: 3*
  • Breast Cancer Risk Prediction Using Different Clustering Techniques
    • Year: 2022
    • Authors: L Akter, M Raihan, M Raihan, M Sarker, M Ghosh, N Alvi, Ferdib-Al-Islam
    • Citation: 3
  • Crop-RecFIS: Machine Learning Classifiers for Crop Recommendation and Feature Importance Scores Calculation
    • Year: 2023
    • Authors: MS Sanim, KM Hasan, MM Alam, MAA Walid, MR Islam
    • Citation: 2
  • Prediction of Dementia Using SMOTE Based Oversampling and Stacking Classifier
    • Year: 2023
    • Authors: Ferdib-Al-Islam, MS Sanim, MR Islam, S Rahman, R Afzal, KM Hasan
    • Citation: 2*
  • An Ensemble Learning Model to Detect COVID-19 Pneumonia from Chest CT Scan
    • Year: 2022
    • Authors: PC Shill
    • Citation: 2

 

 

 

Petros Barmpas | Statistical Analysis | Best Researcher Award

Posted on by ScienceFather

Mr. Petros Barmpas | Statistical Analysis | Best Researcher Award 

Mr at University of The, Greece

Petros Barmpas is a dedicated researcher with a strong background in computer science and biomedical informatics. He has been advancing his academic journey at the University of Thessaly since 2020, following his graduation from the University of Patras with a degree in Computer Engineering and Informatics in 2019. His career is marked by an impressive series of publications and contributions to significant projects in the fields of machine learning, clustering methodologies, and the study of healthcare informatics. Petros is married and a proud father, balancing his professional and personal life with dedication and resilience. His contributions in AI and data analysis have cemented his reputation in both academic and practical applications of computational science.

Profile

Scopus

Education 🎓

Petros Barmpas embarked on his academic career by completing high school in Kozani from 2010 to 2013. He then pursued his Bachelor’s degree in Computer Engineering and Informatics at the University of Patras, graduating in 2019. Currently, Petros is enrolled at the University of Thessaly, where he has been deepening his expertise in Computer Science and Biomedical Informatics since 2020. His educational path has equipped him with extensive knowledge and skills in computational algorithms, data analysis, and advanced informatics, supporting his impactful research and publications.

Experience 🧑‍🏫

Since the onset of his academic pursuits, Petros Barmpas has engaged in various research initiatives, focusing on the practical application of AI and machine learning. His participation in the ATHLOS project exemplifies his commitment to large-scale data analysis and unsupervised learning. Throughout his time at the University of Thessaly and during collaborations with peers, he has demonstrated exceptional expertise in hierarchical clustering, ensemble regressors, and hyperdimensional computing approaches. Petros’ professional journey showcases a consistent dedication to solving complex computational problems and advancing methodologies in biomedical informatics.

Awards and Honors 🏆

Petros Barmpas has earned recognition through numerous high-impact publications in prestigious conferences and journals. His co-authored works in IEEE Congresses and journals like the Springer Journal Health Information Science and Systems underscore his influential presence in the research community. The breadth of his collaborative work reflects the trust and respect he commands among fellow researchers, showcasing his commitment to advancing scientific understanding in AI applications and public health data analysis.

Research Focus 🔍

Petros Barmpas’ research primarily explores innovative approaches to machine learning and data clustering. His interests lie in hyperdimensional computing, hierarchical clustering ensemble methods, and the development of predictive models for healthcare studies. He has applied these techniques to diverse areas, including opioid management during the pandemic and socio-demographic analysis in large-scale studies. Through collaborations and independent work, Petros has contributed to refining algorithms that enhance prediction power and adaptability, positioning his work at the intersection of AI and public health informatics.

Conclusion📝

Petros Barmpas is a distinguished researcher with significant accomplishments in computer science and biomedical informatics. His extensive publication record, innovative contributions to data clustering and health informatics, and strong collaborative efforts underscore his suitability for the Best Researcher Award. Addressing areas such as publishing in higher-impact journals and increasing international engagement could further augment his candidacy. Overall, his academic achievements, commitment to interdisciplinary research, and consistent output make him a deserving nominee for recognition.

Publications 📚

  1. Conference Paper: Hyperdimensional Computing Approaches in Single Cell RNA Sequencing Classification
    Year: 2024
    Authors: Barmpas, P., Tasoulis, S.K., Georgakopoulos, S.V., Plagianakos, V.P.
    Source: 2024 IEEE Congress on Evolutionary Computation, CEC 2024 – Proceedings

 

  1. Conference Paper: HCER: Hierarchical Clustering-Ensemble Regressor
    Year: 2024
    Authors: Barmpas, P., Anagnostou, P., Tasoulis, S.K., Georgakopoulos, S.V., Plagianakos, V.P.
    Source: Communications in Computer and Information Science, 2141 CCIS, pp. 369–378

 

  1. Article (Open access): The Development and Validation of the Pandemic Medication-Assisted Treatment Questionnaire for the Assessment of Pandemic Crises Impact on Medication Management and Administration for Patients with Opioid Use Disorders
    Year: 2023
    Authors: Leventelis, C., Katsouli, A., Stavropoulos, V., Veskoukis, A.S., Tsironi, M.
    Source: NAD Nordic Studies on Alcohol and Drugs, 40(1), pp. 76–94

 

  1. Conference Paper: Neural Networks Voting for Projection Based Ensemble Classifiers
    Year: 2023
    Authors: Anagnostou, P., Barmpas, P., Tasoulis, S.K., Georgakopoulos, S.V., Plagianakos, V.P.
    Source: Proceedings of the 2023 IEEE International Conference on Big Data, BigData 2023, pp. 4567–4574

 

  1. Article (Open access): A Divisive Hierarchical Clustering Methodology for Enhancing the Ensemble Prediction Power in Large Scale Population Studies: The ATHLOS Project
    Year: 2022
    Authors: Barmpas, P., Tasoulis, S., Vrahatis, A.G., Plagianakos, V.P., Panagiotakos, D.
    Source: Health Information Science and Systems, 10(1), 6

Rouholla Bagheri| Deep Learning | Best Researcher Award

Posted on by ScienceFather

Assoc Prof Dr. Rouholla Bagheri | Thermodynamics | Best Researcher Award

Assoc Prof Dr. Ferdowsi University of Mashhad Iran

Dr. Rouholla Bagheri is an Assistant Professor in the Department of Management at Ferdowsi University of Mashhad, Iran. He holds a Ph.D. in Systems Management from Shahid Beheshti University, focusing on knowledge networks in the automotive sector. With a distinguished academic record, Dr. Bagheri has received numerous awards, including the 26th National Outstanding Student Award. His research interests span IoT healthcare systems, supply chain networks, and multi-objective optimization. An active member of various professional associations, he has published extensively in peer-reviewed journals, contributing significantly to the fields of information systems and management.

 

Publication profile

 

🎓 Educational Background

Ph.D. in Systems Management (2013-2018) Shahid Beheshti University, Iran Dissertation: Design a Model of Developing Knowledge Networks in the Car Engine Research Center, GPA: A+. MBA (2012) Amirkabir University, Iran, GPA: A. B.Eng. in Computer Software Engineering (2005)
Bahonar University, Iran, GPA: B

📚 Current Professional Memberships

Member, International Scientific Committee and Editorial Review Board, World Academy of Science, Engineering, and Technology. Member, Council of Knowledge Management in Iran. Member, AIS (Association for Information Systems) of Iran. Member, AKS (Association for Knowledge Management) of Iran. Head, Business Intelligence Department, Association of Management of Iran

🏆 Honors and Awards

Distinguished Assistant Professor, Ferdowsi University (2022). National Outstanding Student Award Winner (2012, 2017). National Science Foundation Award (2013). Book of the Year Award in Information Systems and Management (2010)

Publication

    1. Assessing dimensions influencing IoT implementation readiness in industries: A fuzzy DEMATEL and fuzzy AHP analysis
      Authors: MZ Nezhad, J Nazarian-Jashnabadi, J Rezazadeh, M Mehraeen, …
      Year: 2023

     

    1. BERT-deep CNN: State of the art for sentiment analysis of COVID-19 tweets
      Authors: JH Joloudari, S Hussain, MA Nematollahi, R Bagheri, F Fazl, …
      Year: 2023

     

    1. The mediator role of KM process for creative organizational learning case study: knowledge based companies
      Authors: R Bagheri, MR Hamidizadeh, P Sabbagh
      Year: 2015

     

    1. Examining the impact of product innovation and pricing capability on the international performance of exporting companies with the mediating role of competitive advantage
      Authors: J Rezazadeh, R Bagheri, S Karimi, J Nazarian-Jashnabadi, MZ Nezhad
      Year: 2023

     

    1. The relationship of knowledge management and organizational performance in Science and Technology Parks of Iran
      Authors: MA Haghighi, R Bagheri, PS Kalat
      Year: 2015

     

    1. The Evaluation of Knowledge Management Maturity Level in a Research Organization
      Authors: R Bagheri, P Eslami, S Mirfakhraee, M Yarjanli
      Year: 2013

     

    1. Factors affecting the implementation of the blue ocean strategy: A case study of Medicom production manufacturing company
      Authors: R Bagheri, SP Eslami, M Yarjanli, N Ghafoorifard
      Year: 2013

     

    1. Modelling the factors affecting the implementation of knowledge networks
      Authors: A Rezaeian, R Bagheri
      Year: 2017

     

    1. Revolutionizing supply chain sustainability: An additive manufacturing-enabled optimization model for minimizing waste and costs
      Authors: P Roozkhosh, A Pooya, O Soleimani Fard, R Bagheri
      Year: 2024

     

    1. Robust cooperative maximal covering location problem: A case study of the locating Tele-Taxi stations in Tabriz, Iran
      Authors: H Rezazadeh, S Moghtased-Azar, MS Kisomi, R Bagheri
      Year: 2018

     

    1. Examining the Relationship between organizational Climate and Entrepreneurship with regard to Staff’s Locus of Control in Industry Companies in Iran
      Authors: R Bagheri, M Yarjanli, R Mowlanapour, N Mahdinasab
      Year: 2016

     

    1. Investigating the Effect of Perceived Ethical Leadership on Knowledge Hiding: A Case Study on an Automobile Factory
      Authors: F Imani, G Eslami, R Bagheri
      Year: 2022

    Conclusion 🎓

    Rouholla Bagheri exemplifies the qualities of a strong candidate for the Best Researcher Award, with a robust educational background, a significant publication portfolio, and numerous accolades. By focusing on applied research, enhancing collaborative efforts, and increasing public engagement, he can further amplify his impact in the field of information systems and management. His dedication to advancing knowledge and fostering innovation positions him as a valuable asset to academia and beyond.

Kathia Pinzón | Orthopaedic Surgery | Best Researcher Award

Posted on by ScienceFather

 Prof. Kathia Pinzón | Orthopaedic Surgery | Best Researcher Award

👨‍🏫Profile Summary

Dedicated economist and educator with a Master’s in Development Economics and a Bachelor’s in Economic and Financial Sciences, both with top honors. Extensive experience in academia, research, and statistical analysis, showcased through roles as a full-time professor, researcher, and consultant for institutions like the World Bank. Proven track record of excellence, including a master’s thesis with distinction and multiple awards and scholarships for academic achievements. Skilled in mathematical, statistical, and econometric methods, with proficiency in programming. Committed to advancing knowledge and fostering learning in quantitative economics and related fields.

🌐 Professional Profiles

 

 

 

 

🎓 Education

Graduate Degree: Master in Development Economics Period: 2018 – 2020 Institution: Latin American Faculty of Social Sciences (FLACSO), Ecuador Thesis: Distinction (9.8 / 10) Undergraduate Degree: Engineer in Economic and Financial Sciences Period: 2010 – 2015 Institution: National Polytechnic School, Ecuador Honors: Summa Cum Laude Graduate (29 / 30)

💼 Work Experience

  • Full-Time Professor and Researcher
    • Department: Quantitative Economics
    • Institution: National Polytechnic School (EPN), Ecuador
    • Period: Since 05/2023
    • Responsibilities: Lectures, thesis project direction, research on mathematical, statistical, and econometric methods
  • Part-Time Professor and Researcher
    • Department: Mathematics
    • Institution: National Polytechnic School (EPN), Ecuador
    • Period: 01/2023 – 04/2023
    • Responsibilities: Lectures on Econometrics, thesis project direction, research
  • Researcher and World Bank Consultant
    • Institution: National Institute of Statistics and Censuses (INEC), Ecuador
    • Period: 05/2021 – 04/2023
    • Responsibilities: Statistical analysis, research collaboration, estimation of statistical and econometric models
  • Associate Researcher
    • Institution: Latin American Faculty of Social Sciences (FLACSO), Ecuador
    • Period: 09/2020 – 12/2021
    • Responsibilities: Research collaboration, proposal preparation, statistical analysis, programming
  • Graduate Student and Research Assistant (Scholarship Holder)
    • Institution: Latin American Faculty of Social Sciences (FLACSO), Ecuador
    • Period: 11/2018 – 09/2020
    • Responsibilities: Research collaboration, statistical analysis, programming
  • Teaching and Research Assistant
    • Department: Quantitative Economics
    • Institution: National Polytechnic School (EPN), Ecuador
    • Period: 02/2016 – 10/2018
    • Responsibilities: Lectures, tutoring, research collaboration
  • Data Analyst
    • Department: National Department of Operations Risk (Central Bank of Ecuador)
    • Period: 10/2015 – 01/2016
    • Responsibilities: Statistical analysis, programming, research collaboration
  • Data Analyst
    • Department: Information Department (National Secretary of Planning and Development, SENPLADES)
    • Period: 06/2015 – 09/2015
    • Responsibilities: Statistical analysis, programming, research collaboration

🏆 Awards and Scholarships

  • Master Thesis with Distinction (Graduate level)
    • Date: August 2020
    • Institution: Latin American Faculty of Social Sciences (FLACSO), Quito, Ecuador
  • Full Scholarship for Graduate Studies
    • Date: November 2018
    • Institution: Latin American Faculty of Social Sciences (FLACSO), Quito, Ecuador
  • Award to the Best Student of “Engineering in Economic and Financial Sciences” Career
    • Date: December 2015 (Period 2015B)
    • Institution: National Polytechnic School (EPN) – Faculty of Sciences, Quito, Ecuador
  • Summa Cum Laude Graduate (Undergraduate level)
    • Date: December 2015
    • Institution: National Polytechnic School (EPN), Quito, Ecuador
  • Consecutive Biannual Scholarships of Academic Excellence
    • Duration: June 2012 – December 2015
    • Institution: National Polytechnic School (EPN), Quito, Ecuador
  • Scholarship for Research Collaboration
    • Date: June 2014
    • Institution: United Nations Development Program (UNDP), Quito, Ecuador
  • Consecutive Annual Scholarships of Academic Excellence
    • Duration: 2005 – 2010
    • Institution: “Liceo Fernandez Madrid” High School, Quito, Ecuador

📚Top Noted Publication

    1. Title: Dynamics between Economic Growth and Energy Consumption in Ecuador: A Granger Causality Analysis

     

    1. Title: Reviewing Some Problems in the Supposed Economic Sciences

     

    1. Title: Do Imports of Intermediate Inputs Generate Higher Productivity? Evidence from Ecuadorian Manufacturing

     

    1. Title: Determinants of the Academic Performance of Students at an Ecuadorian Public University

     

    1. Title: Special of Labor Demand: Methodology for the Construction of Employment Projections

     

    1. Title: Special of Labor Demand: Analysis of Results of the Employment Matrix Based on Administrative Records

     

    1. Title: Labor Overview of Ecuador 2019-2021

     

    1. Title: Corruption, Unemployment, and Clientelism: A Political Economy Approach